Work-Related Stress and Glucose Regulation in Air Traffic Control Officers: Implications for Medical Certification
Abstract
1. Introduction
2. Materials and Methods
3. Results and Discussion
3.1. Stress as the Leading Aspect of Air Traffic Control Operators’ Activities
- (i)
- High-complexity area conflict (medium stress): two aircraft may appear on the radar screen while approaching each other, so the ATCOs have to manage vertical and horizontal separation between them with a minimal response and conflict resolution time relative to aircraft speeds in the presence of departing, arriving, and opposite traffic.
- (ii)
- Conflict detection due to transponder Mode C failure (medium stress): Transponder-based altitude (i.e., flight level) information may get lost from the controller’s working position perspective for short periods (i.e., some 20 s). In such conditions, an aircraft might suddenly appear on the radar screen at the same flight level as other aircraft, thus causing a flashing alert from the traffic conflict detection system.
- (iii)
- Social pressure (medium stress): Social pressure and distraction can come from someone close to the ATCO using a mobile phone loudly.
- (iv)
- Radio noise (high stress): Noise from one of an aircraft’s radio systems could suddenly—and hopefully temporarily—make communication with the pilot relatively poor and thus cause difficulty in understanding and providing commands while monitoring and managing the other traffic components.
- (v)
- Emergency descent (high stress): an aircraft can declare an emergency descent, in which case the ATCO has to inform all pilots in close positions and instruct them to take evasive action against sudden crossings and conflicts.
- (vi)
- Lost radar images (high stress): When radar images suddenly, yet temporarily, fade out from the screen, ATCOs have to switch to paper strips only, with lost situational awareness involving aircraft, supporting tools, and safety and efficiency measurements.
3.2. Stress-Induced Pathophysiological Changes
3.3. Stress Might Affect Workers with Diabetes
3.4. Diabetes Management Considerations Within a Complex Stress Environment
4. Novelty, Strengths, and Limitations
4.1. Novelty and Strengths
4.2. Limitation
5. Future Research Directions
6. Conclusions
Future Research Imperatives
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Abbreviations
ATCOs | air traffic controllers |
PwD | people with diabetes |
TIR | time in range |
LADA | latent autoimmune diabetes in adulthood |
TVF | traditional vigilance format |
SART | Sustained Attention to Response Task |
XIM | eXperience Induction Machine |
EEG | electroencephalogram |
GSR | galvanic skin response |
HR | heart rate |
RC | radio communications |
MNs | maritime navigators |
WS | work stress |
SR | stress resilience |
EMG | electromyography |
EDA | electrodermal activity |
HRV | heart rate variability |
RSA | respiratory sinus arrhythmia |
ASR | acoustic startle response |
sIgA | salivary immunoglobulin A |
TRACON | Terminal Radar Approach Control |
NASA TLX | NASA Task Load Index |
VTD | vocal tract discomfort |
eICU | electronic intensive care unit |
eNurses | electronic nurses |
ePhysicians | electronic physicians |
TEST | Task-load Efficiency Safety-Buffer Triangle |
ATC | Aerodrome Tower Control |
APC | Approach Control |
WCST | Wisconsin Card Sorting Test |
APPCC | Approach Control Center (APPCC) |
SSI-ICM | Synthetic Sentence Identification Test–Ipsilateral Competitive Message |
SIN | speech-in-noise test |
PASAT | Paced Auditory Serial Addition Test |
SD | sleep deprivation |
TSST | Trier Social Stress |
T1DM | Type 1 Diabetes Mellitus |
T2DM | Type 2 diabetes mellitus |
HPA | hypothalamic–pituitary–adrenal |
APS | acute psychological stress |
STAI | State-Trait Anxiety Inventory |
ICII | Insulin Confidence Index |
CGM | continuous glucose monitoring |
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Authors | Participants | Methods | Main Results |
---|---|---|---|
Borghini, G. et al. (2020) [19] | ATCOs (n = 16) | A simulation of air traffic management collected subjective data (stress perception) and neurophysiological data (brain activity, heart rate, galvanic skin response). | EEG, ECG, and GSR combinations create a stress index to measure stress variations during ATM activities. |
Makara-Studzińska, M. et al. (2020) [20] | Maritime navigators (n = 54); ATCOs (n = 88) | Set of questionnaires for occupational burnout, perceived stress, and seniority. | Workplace demands and employee predispositions impact occupational burnout, life evaluation, and personal resources. |
Costa, G. (2000) [21] | ATCOs aged 23–59 years (n = 762) | Clinical evalutaion and a set of questionnaires | Work stress appeared related mainly to mental charge, aggravated by time pressure and high responsibility. |
Sega, R. et al. (1998) [22] | ATCOs (n = 80); Controls (n = 216) | Clinical evaluations | ATCOs adequately cope with the stress inherent to the job. |
Zeier, H. et al. (1996) [23] | ATCOs (n = 199) | Before and after two working sessions at a radar workplace, 2 min samples of whole unstimulated saliva were collected for about 100 min. | The demanding work of ATCs increases salivary cortisol and, sIgA. |
Hui, L. et al. (2024) [24] | ATCOs (n = 41) | A cognitive workload detection method for air traffic controllers based on mRMR and fewer EEG channels. | Employing EEG equipment for the detection of the cognitive workload |
Balta, E. et al. (2024) [25] | ATCOs (n = 12) | The communication device, and the digital recorder of the control tower plus blood and skin conductunce measures | Mental workload modulates time perception in complex, real-world environments. |
Barrett, J. et al. (1978) [26] | ATCOs aged 25–49 years (n = 416) | 3-year perspectives study of health change | Two patterns of depression were noted: one acute and episodic, resembling “episodic minor depressive disorder,” and another chronic and fluctuating, akin to “chronic and intermittent minor depressive disorder,” with significant symptoms for over half the year. |
Yu, X. et al. (2025) [27] | ATCOs (n = 24) | Simulator known as Endless ATC is used to simulate basic ATC operations on a radar map display | The semi-supervised learning approach can accurately provide continuous workload estimations for ATCOs and outperforms the baseline models. |
Villar ACNWB et al. (2019) [28] | ATCOs (n = 30); Military personnel and civilians (n = 39) | Attention, communication, and health questions, plus speech-in-noise and SSI monotic tests for closure and figure-ground assessment. | ATCOS reported higher fatigue and stress but outperformed the control group in figure-ground and closure tasks. There was a 5.59 times greater likelihood of being CTA for stress and a 1.24 times greater likelihood of identifying phrases in right-ear monotic listening. |
Bernhardt et al. (2019) [29] | ATCOs (n = 47: 27 experienced; 20 less experienced) | Clinical trial on inhaler techniques | The EEG engagement metric varied by experience, with less experienced controllers more engaged than experienced ones. The EEG workload metric and pupil diameter were influenced by workload changes but did not distinguish between experience levels. |
Borghini et al. (2017) [30] | ATCOs Expert (n = 15) ATCOs Students (n = 22) | Air Traffic Management Simulation | Brain features may identify and differentiate Skill and Rule Knowledge levels, allowing for objective assessment of cognitive control behaviors in real-life situations. |
Ribas, V.R. et al. (2011) [31] | ATCOs (n = 30; ATCo > 10 − n = 15; TCo < 10 − n = 15); Aeronautical Information Service Operators (AIS: n = 15; AIS > 10 n = 8; AIS < 10 n = 7) | Blood samples were drawn at 8:00 a.m. and 2:00 p.m. | The ATCo ≥ 10 group had a lower monocyte phagocytosis rate at 2:00 p.m. compared to 8:00 a.m. They also had reduced hemoglobin, mean corpuscular hemoglobin concentration, platelets, and leukocytes, with higher cortisol at 8:00 a.m. Compared to other groups, they exhibited lower levels of phagocytosis, hemoglobin, platelets, leukocytes, basophils, and nitric oxide at 2:00 p.m. |
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Verde, P.; Piccardi, L.; Gentile, S.; Roberts, G.A.; Mambro, A.; Pepe, S.; Strollo, F. Work-Related Stress and Glucose Regulation in Air Traffic Control Officers: Implications for Medical Certification. Biomedicines 2025, 13, 2125. https://doi.org/10.3390/biomedicines13092125
Verde P, Piccardi L, Gentile S, Roberts GA, Mambro A, Pepe S, Strollo F. Work-Related Stress and Glucose Regulation in Air Traffic Control Officers: Implications for Medical Certification. Biomedicines. 2025; 13(9):2125. https://doi.org/10.3390/biomedicines13092125
Chicago/Turabian StyleVerde, Paola, Laura Piccardi, Sandro Gentile, Graham A. Roberts, Andrea Mambro, Sofia Pepe, and Felice Strollo. 2025. "Work-Related Stress and Glucose Regulation in Air Traffic Control Officers: Implications for Medical Certification" Biomedicines 13, no. 9: 2125. https://doi.org/10.3390/biomedicines13092125
APA StyleVerde, P., Piccardi, L., Gentile, S., Roberts, G. A., Mambro, A., Pepe, S., & Strollo, F. (2025). Work-Related Stress and Glucose Regulation in Air Traffic Control Officers: Implications for Medical Certification. Biomedicines, 13(9), 2125. https://doi.org/10.3390/biomedicines13092125